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A Three-dimensional Locating Method for Underwater Robot Based on Sensors Fusion

机译:基于传感器融合的水下机器人三维定位方法

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摘要

Among various vision sensors used in localizing targets in robotics, the locating precision of monocular vision is low, and binocular vision requires difficult stereo matching and a heavy computation. Hence a novel application of sensors fusion for underwater robot locating is presented in this paper, which is combined with a linear laser emitter and an underwater camera to obtain 3D coordinates of targets. Due to the distortions especially the edge of the images contributing significantly to the accurate locating, camera radial aberration is considered when calibrating camera parameters to weaken the image distortion. Considering refraction affects locating precision in water, a method of modifying underwater refraction based on sensors fusion is presented to reduce locating error of depth. Experiment results verify the method based on sensors fusion is better than the secondary focus method. Also the camera calibration method and refraction influence modifying method proposed in this paper are proved to be able to improve locating precision obviously.
机译:在用于机器人中的定位目标的各种视觉传感器中,单眼视觉的定位精度低,并且双目视觉需要困难的立体声匹配和沉重的计算。因此,本文提出了一种新的应用对水下机器人定位的传感器融合,其与线性激光发射器和水下相机结合以获得目标的3D坐标。由于扭曲尤其是贡献到精确定位的图像的边缘,当校准相机参数以削弱图像失真时,考虑相机径向像差。考虑折射影响在水中定位精度,提出了一种基于传感器融合修改水下折射的方法,以减少深度的定位误差。实验结果验证了基于传感器融合的方法优于二次焦点方法。此外,还证明了本文提出的相机校准方法和折射影响修改方法,以便能够明显提高定位精度。

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